3D Tortuosity computation as a shape descriptor and its application to brain structure analysis.
BMC Med Imaging
; 24(1): 130, 2024 Jun 04.
Article
en En
| MEDLINE
| ID: mdl-38834987
ABSTRACT
In this study, we propose a novel method for quantifying tortuosity in 3D voxelized objects. As a shape characteristic, tortuosity has been widely recognized as a valuable feature in image analysis, particularly in the field of medical imaging. Our proposed method extends the two-dimensional approach of the Slope Chain Code (SCC) which creates a one-dimensional representation of curves. The utility of 3D tortuosity ( τ 3 D ) as a shape descriptor was investigated by characterizing brain structures. The results of the τ 3 D computation on the central sulcus and the main lobes revealed significant differences between Alzheimer's disease (AD) patients and control subjects, suggesting its potential as a biomarker for AD. We found a p < 0.05 for the left central sulcus and the four brain lobes.
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Texto completo:
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Banco de datos:
MEDLINE
Asunto principal:
Encéfalo
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Imagenología Tridimensional
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Enfermedad de Alzheimer
Límite:
Aged
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Female
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Humans
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Male
Idioma:
En
Año:
2024
Tipo del documento:
Article